Overview
Kristin Stephens-Martinez is an Assistant Professor of the Practice at Duke University in the Computer Science Department. She received her Ph.D. in Computer Science from UC Berkeley. Her research lies at the intersection of education and computer science focusing on using data available in large classrooms. Her specific research interest is examining data from course tools, with the goal to find interpretable data-driven insights that inform interventions to improve learning. Her more recent …
Office Hours
My office is in LSRC D224. See my class pages' (linked on my website) for this semester's office hours.
Current Appointments & Affiliations
Associate Professor of the Practice of Computer Science
·
2024 - Present
Computer Science,
Trinity College of Arts & Sciences
Associate Director of Undergraduate Studies in the Department of Computer Science
·
2024 - Present
Computer Science,
Trinity College of Arts & Sciences
Recent Publications
Rethinking computing students’ help resource utilization through sequentiality
Journal Article ACM Transactions on Computing Education · February 19, 2025 Background . Academic help-seeking benefits students’ achievement, but existing literature either studies important factors in students’ selection of all help resources via self-reported surveys or st ... Full text CiteStudent Perceptions of the Help Resource Landscape
Conference SIGCSE TS 2025 - Proceedings of the 56th ACM Technical Symposium on Computer Science Education · February 18, 2025 Background and Context. Existing works in computing students’ help-seeking and resource selection identified an expanding set of important dimensions that students consider when choosing a help resource. However, most works either assume a predefined list ... Full text CiteThe Trees in the Forest: Characterizing Computing Students' Individual Help-Seeking Approaches
Conference ICER 2024 - ACM Conference on International Computing Education Research · August 13, 2024 Background and Context. Academic help-seeking is vital to post-secondary computing students' effective learning. However, most empirical works in this domain study students' help resource selection and utilization by aggregating the entire student body as ... Full text CiteRecent Grants
Collaborative Research: Characterizing and empowering student success when traversing the academic help landscape
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2024 - 2027IIS: Small: Helping Novices Learn and Debug Relational Queries
ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2020 - 2024CUE: Collaborative Research: Effective Peer Teaching Across Computing Pathways
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2020 - 2023View All Grants
Education, Training & Certifications
University of California, Berkeley ·
2017
Ph.D.
University of California, Berkeley ·
2013
M.S.